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Combining language model and strategic AI for board game Diplomacy
In the board game diplomacy, success relies on forming alliances, backstabbing opponents, and understanding human psychology. An AI bot named Cicero was created by No one Brown and his team at Meta to play against real players without their knowledge. The key to Cicero's success was the collaboration between a language model and a game strategy simulator. The language model interpreted one-on-one conversations, translating them into a technical language for the game strategy simulator to analyze different scenarios and determine the best course of action. The language model then generated natural-sounding messages for effective communication. This combination of a language model and a planning engine enabled Cicero to excel in complex interpersonal interactions, showcasing its ability to understand human intentions and strategize effectively in the game of diplomacy.